A novel interpolation method based on differential evolution-simplex algorithm optimized parameters for support vector regression

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6382 LNCS, Issue M4D, 2010, Pages 64-75

  Zhang, Dongmei ^a   Liu, Wei ^a   Xu, Xue ^a   Deng, Qiao ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Differential evolution algorithm (DE); Parameter optimization; Simplex algorithm; Spatial interpolation; Support Vector Machine

Indexed keywords

DATA SETS; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; DIRECT SEARCHING; FORECAST ACCURACY; GEOSCIENCES; HYPER-PARAMETERS; INITIAL VALUES; INTERPOLATION METHOD; LOCAL OPTIMIZATIONS; LOCAL SEARCHING; MACHINE LEARNING METHODS; MUTATION OPERATIONS; NONLINEAR PROGRAMMING PROBLEM; OPTIMIZED PARAMETER; OPTIMIZING PARAMETERS; PARAMETER OPTIMIZATION; RISK MINIMIZATION; SEARCHING ALGORITHMS; SIMPLEX ALGORITHM; SPATIAL INTERPOLATION; SUPPORT VECTOR REGRESSIONS;

BIOLOGY; INTERPOLATION; NONLINEAR PROGRAMMING; OPTIMIZATION; PARAMETER ESTIMATION; SPACECRAFT; SUPPORT VECTOR MACHINES; VECTORS;

EVOLUTIONARY ALGORITHMS;

EID: 78649523121     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16493-4_7     Document Type: Conference Paper

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